Root-MUSIC constraints on complex-plane solutions improve reflected-wave direction estimates for more accurate object detection.
CFAR processing uses signal intensity at zero relative velocity to improve stationary-object detection in complex environments.
A wireless network schedules time-frequency resources for vehicular radar and communications, reducing interference among transceivers.
An adaptive RLS FIR filter models bumper-reflection and MMIC/antenna coupling interference, then subtracts it to improve 0–15 cm radar detection.
Estimated speed-ratio comparisons expose aliasing at stationary reflection points, enabling corrected orientation angles and more accurate axial misalignment estimates.
Millimeter-wave radar and variable-focus RDA reconstruct SAR images for sub-millimeter wear profiling when dust blocks laser inspection.
Sequentially loaded programming contexts let a radar MMIC use smaller RAM partitions, reducing firmware startup time and memory demands.
Multiple radar measurements and map data filter infeasible positions for accurate real-time localization of moving vehicles.
Subramp grouping and modified DFT processing resolve radar velocity ambiguity while preserving fine range resolution.